Machine Learning Education
Math-rigorous ML and deep learning notes
A teaching platform that explains machine learning from first principles with mathematical derivations, implementation notes, and visual examples.
Launch platformLecturer, developer, technical writer
Building software and useful tools.
I am Suranjan Poudel, a computing lecturer in Plymouth. I write software, teach AI and machine learning, and build tools that make difficult ideas easier to understand.
About
Practical engineering, explained well.
My work sits between teaching and producing software: full-stack systems, AI workflows, curriculum design, and interactive tools.
I care about systems that are easy to reason about. That means clear interfaces, readable code, dependable architecture, and explanations that respect the users's time.
Read CV and experienceClarity Readable code, direct documentation, and interfaces that make state obvious.
Maintainability Small decisions that keep systems understandable after the first release.
Pedagogy Teaching technical ideas through examples, interaction, and careful sequencing.
Selected Work
Projects
Study Tooling
Markdown editor for connected reading
A live-rendering study workspace that combines Markdown notes, PDF reading, annotations, and study tracking in one focused interface.
View on GitHub
Interactive Teaching
Cyber defense classroom simulator
A browser-based simulator for teaching network infrastructure, packet flow, SQL injection, man-in-the-middle attacks, and cryptographic ciphers.
Open simulatorWriting
2 published postsRecent notes and technical essays.
Building a Local RAG Pipeline
Design notes from building a retrieval augmented generation pipeline that runs fully on local hardware.
Essential JavaScript Concepts
A practical refresher on JavaScript fundamentals that matter when working with modern frameworks.
Contact
Available for AI & ML conversations, and software collaboration.
Suranjan Poudel [email protected] Plymouth, United Kingdom